CrossRef Text and Data Mining
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Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach
Vitchaya Siripoppohn, Rapat Pittayanon, Kasenee Tiankanon, Natee Faknak, Anapat Sanpavat, Naruemon Klaikaew, Peerapon Vateekul, Rungsun Rerknimitr
Clin Endosc 2022;55(3):390-400.   Published online 2022 May 9    DOI: https://doi.org/10.5946/ce.2022.005

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Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach
Clinical Endoscopy. 2022;55(3):390-400   Crossref logo
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Deep learning based real-time Industrial framework for rotten and fresh fruit detection using semantic segmentation
Microsystem Technologies. 2020;27(9):3365-3375   Crossref logo
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CONVOLUTIONAL NEURAL NETWORK BASED ARTIFICAL INTELLIGENT TO PERFORM REAL-TIME SEMATIC SEGMENTATION ON GASTRIC INTESTINAL METAPLASIA
Gastrointestinal Endoscopy. 2022;95(6):AB228   Crossref logo
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RETRACTED: Deep learning for real-time semantic segmentation: Application in ultrasound imaging
Pattern Recognition Letters. 2021;144:27-34   Crossref logo
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Real-Time Semantic Image Segmentation with Deep Learning for Autonomous Driving: A Survey
Applied Sciences. 2021;11(19):8802   Crossref logo
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Semantic segmentation for self-driving cars using deep learning
Cognitive Big Data Intelligence with a Metaheuristic Approach. 2022;211-238   Crossref logo
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Semantic Road Segmentation using Deep Learning
2020 Applying New Technology in Green Buildings (ATiGB). 2021;   Crossref logo
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How deep learning is empowering semantic segmentation
Multimedia Tools and Applications. 2022;   Crossref logo
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Retraction notice to “Deep learning for real-time semantic segmentation: Application in ultrasound imaging” [Pattern Recognition Letters 144 (2021) 27–34]
Pattern Recognition Letters. 2022;159:222   Crossref logo
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Intestinal metaplasia and gastric carcinogenesis
Alimentary Pharmacology & Therapeutics. 2002;16(7):1209-1216   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Clin Endosc has participated in CrossRef Text and Data Mining service since March 1, 2015.